ARAE
Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun https://arxiv.org/abs/1706.04223
Disclaimer
Major updates on 06/11/2018:
- WGAN-GP replaced WGAN
- added 1BWord dataset experiment
- added Yelp transfer experiment
- removed unnecessary tricks
- added both RNNLM and ngram-LM evaluation for both forward and reverse PPL.
File structure
- lang: ARAE for language generation, on both 1B word benchmark and SNLI
- yelp: ARAE for language style transfer
- mnist (in Torch): ARAE for discretized MNIST
Reference
@ARTICLE{2017arXiv170604223J,
author = {{Junbo} and {Zhao} and {Kim}, Y. and {Zhang}, K. and {Rush}, A.~M. and
{LeCun}, Y.},
title = "{Adversarially Regularized Autoencoders for Generating Discrete Structures}",
journal = {ArXiv e-prints},
archivePrefix = "arXiv",
eprint = {1706.04223},
primaryClass = "cs.LG",
keywords = {Computer Science - Learning, Computer Science - Computation and Language, Computer Science - Neural and Evolutionary Computing},
year = 2017,
month = jun,
adsurl = {http://adsabs.harvard.edu/abs/2017arXiv170604223J},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}